Michael Fuchs
- Mathematical Physics top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Geometry and Topology top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Hsien‐Kuei HwangRalph NeiningerPei-Duo YuHuilan ChangLouxin ZhangDong Han KimBernhard GittenbergerHua‐Huai Chern
- Topics
- Stochastic processes and statistical mechanics (23 papers)Mathematical Dynamics and Fractals (20 papers)Algorithms and Data Compression (12 papers)
In The Last Decade
Michael Fuchs
48 papers receiving 278 citations
Peers
Comparison fields: 5 of 60
- Mathematical Physics 162
- Artificial Intelligence 76
- Computational Theory and Mathematics 58
- Geometry and Topology 50
- Statistical and Nonlinear Physics 46
Countries citing papers authored by Michael Fuchs
This map shows the geographic impact of Michael Fuchs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Fuchs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fuchs more than expected).
Fields of papers citing papers by Michael Fuchs
This network shows the impact of papers produced by Michael Fuchs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Fuchs. The network helps show where Michael Fuchs may publish in the future.
Co-authorship network of co-authors of Michael Fuchs
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fuchs. A scholar is included among the top collaborators of Michael Fuchs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Fuchs. Michael Fuchs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Counting phylogenetic networks with few reticulation vertices: tree-child and normal networks. | 9 |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 7 |
About Michael Fuchs
Michael Fuchs is a scholar working on Mathematical Physics, Discrete Mathematics and Combinatorics and Algebra and Number Theory, having authored 55 papers that have together received 302 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (23 papers), Mathematical Dynamics and Fractals (20 papers) and Algorithms and Data Compression (12 papers). The work is most often cited by research in Mathematical Physics (162 citations), Discrete Mathematics and Combinatorics (33 citations) and Geometry and Topology (50 citations). Michael Fuchs has collaborated with scholars based in Taiwan, Austria and Germany. Frequent co-authors include Hsien‐Kuei Hwang, Ralph Neininger, Pei-Duo Yu, Huilan Chang, Louxin Zhang, Dong Han Kim, Bernhard Gittenberger, Hua‐Huai Chern, Helmut Prodinger and Johannes C. Schmid. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Applied Surface Science and Analytical and Bioanalytical Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.